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Systems and methods for detecting crack growth

A technique for detecting materials, crack propagation, applied in measuring devices, using optical devices, optical testing for flaws/defects, etc., to solve problems such as component or material damage, no indication at the end of cracks, imprecise components or materials, etc.

Active Publication Date: 2016-03-09
THE BOEING CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Additionally, cracks in x-ray images may not be accurately measured by a human using a ruler; since x-ray images consist of averaged frames, there may not be a clear indication where a crack ends
Inaccurate determination of material properties can lead to selection of a component or material unsuitable for its intended use, which can lead to premature failure of the component or material in service

Method used

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  • Systems and methods for detecting crack growth
  • Systems and methods for detecting crack growth
  • Systems and methods for detecting crack growth

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0043] This example describes an illustrative crack growth detection system 20 and an illustrative test sample 22; see Figure 1-5 .

[0044] Test sample 22 may comprise a single component or may comprise multiple components. In some examples, a test sample may be a single sheet or a single plate that may include a bend or notch (eg, a cut). In other examples, test sample 22 may be a composite material having two or more constituent materials that have substantially different physical or chemical properties. For example, construction materials may include a matrix (or bond) material, such as a resin (eg, a thermoset epoxy) and a reinforcement material, such as a plurality of fibers (eg, a braid of carbon fibers). The test sample may include a surface 23 (such as a top surface), which may be a color contrasting surface. In some examples, surface 23 may include a color contrast coating 23'. The color contrast coating may be a film, paint (such as a spray paint), stain, varni...

example 2

[0054] This example describes an image processing program 36 suitable for use with the crack growth detection system 20 as described in Example 1; see Figure 6-12 .

[0055] Image processing program 36 may be configured to determine pixel characteristics of photographic images, such as pixel intensity, hue, brightness, and saturation. For example, when the photographic image is a black and white image, the image processing program may be configured to determine the intensity of each pixel ranging from the lowest intensity black to the highest intensity white (such as a range from 0 to 255). When the photographic image is a color image, image processing program 36 may be configured to determine the intensity of each primary color, namely red, green and blue (RGB). For example, the determined intensity of each primary color may range from 0 to 255 with a 24-bit color scheme.

[0056] Figure 6-8 Illustrative results of the image processing program 36 analyzing the pixels 46 ...

example 3

[0072] This example describes the method used to detect crack growth in test samples of materials; see Figure 13 .

[0073] Figure 13 Depicted are steps of a method that may be performed in conjunction with crack growth system 20 in accordance with aspects of the present disclosure. While the various steps of method 100 are described below, and in Figure 13 are depicted in , but the steps are not necessarily all performed, and in some cases may be performed in an order different from that shown.

[0074] The method 100 may include a step 102 of color contrasting the surface of the test sample. Color contrasting the surface may include applying a color contrasting coating to the surface of the test sample, such as a painted surface. In some examples, the coating may exhibit a highly contrasting color relative to the surface color of the background. When the test sample comprises two or more layers, color contrasting the surface may include providing a color contrasting ...

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PUM

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Abstract

A system and method for detecting crack propagation in a material test specimen may include color contrasting a surface of a test specimen, acquiring a plurality of photographic images of the specimen during application of a stress load, processing the plurality of images to detect characteristics of pixels that are outside a baseline range of pixel characteristics indicative of a contrast between a crack in the test specimen and the color contrasted surface of the test specimen, and generating an output of a strain energy release rate based on changes in detected crack length over time.

Description

technical field [0001] The present disclosure relates to sample inspection, and more particularly, the disclosed embodiments relate to systems and methods for detecting crack growth in a test sample during the application of a stress load. Background technique [0002] Structural components and / or other materials may be tested to determine their material properties. Determining the material properties of a structural component and / or material may be important in determining, for example, whether the component or material is suitable for a particular application. In some tests, samples representing specific structural components and / or materials may be selected. During testing, one or more forces may be applied to a test sample to determine properties of the sample. In some tests, one or more forces may be applied to induce and / or propagate cracks in the test specimen. In these tests, measuring the crack length and the associated load provides information about the materia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/02G01N3/00
CPCG01N3/068G01N2203/0066G01N2203/0652G01N2203/0682G01N21/255G01N21/95
Inventor J·J·汉德勒
Owner THE BOEING CO
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